Postdoc in Image Analysis for Autonomous Systems and Quality Inspection

Applicants are invited to apply for a postdoctoral fellowship position in computer graphics at Technical University of Denmark. The funding allows successful candidate to work for three years. Potential candidates should apply before January 23, 2019.

The Section for Image Analysis and Computer Graphics at DTU Compute, invites applications for an appointment as postdoc in Image Analysis for Autonomous Systems and Quality Inspection. The position is for three years and aimed computer vision for autonomous systems and quality inspection of manufactured objects and part of collaborative research projects. One project within vision based naval navigation and the other project aimed at quality inspection systems for wind turbine blade. The position is available from 1 February 2019 or according to mutual agreement.

Our department, DTU Compute, is an internationally unique academic environment spanning the science disciplines mathematics, statistics and computer science with an engineering focus. Based on this, we cover informatics and communication technologies (ICT) in their broadest sense, and we play a major role in addressing the societal challenges of the digital society where ICT is a part of every industry, service, and human endeavour.

DTU Compute strives to achieve research excellence in its basic science disciplines, to achieve technological leadership in research and innovation, and to address societal challenges in collaboration with partners at DTU and other academic institutions, nationally and internationally, and, equally important, with industry and organizations. We communicate and collaborate with leading centres and strategic partners to increase participation in major consortia.

DTU Compute plays a central role in education at all levels of the engineering programmes at DTU - both in terms of our scientific disciplines and our didactic innovation. This postdoc position is aimed at carrying out research in computer vision methodology applied to autonomous systems and for inspection in manufacturing.

The position is part of ongoing research projects for autonomous naval navigation and wind turbine blade inspection.

The postdoc will have the responsibility of delivering research results and methodologies according to the plans and milestones set in the projects that this position is part of. It is therefore expected, that the candidate will take a lead in planning his/her work in close collaboration with other project partners.

Computer vision in natural lighting conditions and harsh environments, which is the conditions at wind turbine sites and for naval navigation, is highly challenging. Obtaining reliable information about defects or foreign objects requires advanced inference methods. New developments in machine learning based computer vision have shown good results, and it is expected that the research should take an offset in deep learning for computer vision.

The project will to some extent also involve practical imaging setups for data acquisition, either in the lab or in a natural environment. So, experience with practical computer vision and data acquisition will also be beneficial.

All interested candidates irrespective of age, gender,disability, race, religion or ethnic background are encouraged to apply.

DTU Compute conducts research and education in the fields of mathematics and computer science. The consistently expanding mass of information and the increasingly complex use of advanced technology in society demand development of advanced computer based mathematical models and calculations. The unique competences of the department are in demand in IT innovation and production.


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